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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13411
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    INDEX
    Explanations

    time-related phrases, particularly indicating possible future occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to timing or quantity related to upcoming events or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chen
    -0.66
    iquette
    -0.58
    ibrary
    -0.57
    enger
    -0.55
    bal
    -0.53
     Butterfly
    -0.53
    meet
    -0.52
    OTO
    -0.52
     Krish
    -0.51
     Compare
    -0.51
    POSITIVE LOGITS
     as
    0.97
     AS
    0.86
    as
    0.74
    azi
    0.68
    asel
    0.63
    asp
    0.60
    rupulous
    0.60
    ussia
    0.59
     As
    0.58
    keye
    0.57
    Activations Density 0.064%

    No Known Activations